Search Results for author:
Found 18 papers, 9 papers with code
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras
We propose a novel and pragmatic framework for traffic scene perception with roadside cameras.
Remote Sensing Novel View Synthesis with Implicit Multiplane Representations
In this paper, we propose a novel remote sensing view synthesis method by leveraging the recent advances in implicit neural representations.
Building Extraction from Remote Sensing Images with Sparse Token Transformers
Deep learning methods have achieved considerable progress in remote sensing image building extraction.
Multi-view 3D Reconstruction with Transformer
Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.
Ranked #5 on
3D Reconstruction
on ShapeNet
Single-Shot Motion Completion with Transformer
Motion completion is a challenging and long-discussed problem, which is of great significance in film and game applications.
Ranked #2 on
Motion Synthesis
on LaFAN1
MeInGame: Create a Game Character Face from a Single Portrait
To tackle these problems, we propose 1) a low-cost facial texture acquisition method, 2) a shape transfer algorithm that can transform the shape of a 3DMM mesh to games, and 3) a new pipeline for training 3D game face reconstruction networks.
Multi-View 3D Reconstruction With Transformers
Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.
NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram
This paper studies an interesting question that whether a deep CNN can be trained to recover the depth behind an autostereogram and understand its content.
Stylized Neural Painting
Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, we deal with such an artistic creation process in a vectorized environment and produce a sequence of physically meaningful stroke parameters that can be further used for rendering.
Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos
This paper proposes a vision-based method for video sky replacement and harmonization, which can automatically generate realistic and dramatic sky backgrounds in videos with controllable styles.
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation
Previous works of this topic consider music-to-dance as a supervised motion generation problem based on time-series data.
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using default templates.
Neutral Face Game Character Auto-Creation via PokerFace-GAN
Besides, the neural network based renderer used in previous methods is also difficult to be extended to multi-view rendering cases.
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
Considering the layer separating ambiguity that given a single mixed input, there could be an infinite number of possible solutions, we introduce a "Separation-Critic" - a discriminative network which is trained to identify whether the output layers are well-separated and thus further improves the layer separation.
Generative Adversarial Training for Weakly Supervised Cloud Matting
The detection and removal of cloud in remote sensing images are essential for earth observation applications.
Multi-grained Attention Networks for Single Image Super-Resolution
In this paper, we make a thorough investigation on the attention mechanisms in a SR model and shed light on how simple and effective improvements on these ideas improve the state-of-the-arts.
Face-to-Parameter Translation for Game Character Auto-Creation
Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with their own preferences rather than using default templates.
Object Detection in 20 Years: A Survey
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years.
